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EazyML, recognized by Gartner, EazyML () specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for an experienced Data Engineer who enjoys solving complex data problems and takes ownership from design through delivery. You can work from home (anywhere in INDIA, job location is in India). This role is ideal for someone who can build scalable data pipelines on Microsoft Azure Fabric, leverage AI to improve engineering productivity, and work closely with business and technical stakeholders. Qualifications: 5+ years of hands-on experience as a Data Engineer.Strong experience with Microsoft Azure Fabric, Databricks and Azure data services.Solid knowledge of SQL and data modeling concepts.Experience building enterprise-grade data pipelines and data integration solutions.Proficiency in Python, Spark, or similar technologies is preferred.Experience working with cloud-based data platforms in production environments. Key Skills: Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric.Build reliable ETL/ELT processes for structured and unstructured data.Work with business teams to understand data requirements and translate them into technical solutions.Optimize data processing workflows for performance, scalability, and cost.Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality.Troubleshoot production issues and proactively identify improvements.Collaborate with architects, analysts, and developers throughout the project lifecycle. Owns their work. Take responsibility for quality, timelines, and outcomes without constant follow-up.Thinks beyond the obvious. Actively use AI and automation to solve problems, improve engineering productivity, and deliver better solutions.Communicates proactively. Raise risks early, ask questions when something isn't clear, and keep stakeholders informed.Adapts quickly. Requirements evolve, and you're comfortable adjusting priorities while maintaining delivery commitments.Works collaboratively. Available to engage with global teams and can overlap with the U.S. East Coast during critical discussions (up to 1:00 PM ET, as needed). .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.